预测和改进电动汽车的结构传播和空气传播啸叫,实现虚拟开发

Ji Woo Yoo, Ki-Sang Chae, JaeHyuk Choi, Myunggyu Kim, Seunghyeon Cho, Christophe Coster, Anneleen Van Gils
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引用次数: 0

摘要

造成车内噪音的来源和途径很多。电动汽车产生的一些噪声与内燃机汽车的噪声不同,具有独特性。特别是由于电机和变速箱齿轮电磁力的特殊顺序而产生的啸叫噪声,这种噪声是音调性的,通常达到很高的频率。本文从结构传播(SB)和空气传播(AB)两个方面来估算啸叫,并区分了两种特性之间的差异。重点主要在于虚拟车辆的开发和应用过程,以提高性能。首先,为了预测 SB啸叫,电子动力总成被建模为有限元模型(FEM),并计算电磁(EM)力。汽车模型也被建模为有限元模型,其中对车内声音包进行了仔细建模,因为它们在中频区域起着重要作用。将电动动力总成和车辆模型(分别模拟)结合起来,可获得高达 1.5 kHz 的车厢噪声。设计研究表明,安装绝缘体的刚度和车辆面板的刚度是降低 SB 噪音的重要设计变量。其次,该研究强调了一种模拟方法,通过将电动动力总成和车辆外腔的有限元模型与车辆的统计能量分析 (SEA) 模型相结合,预测高达 8 kHz 的车内空气啸叫。通过定义声源强度和空气传播路径的声传递函数,可以确定路径贡献。设计修改(包括电子动力总成的封装)表明,该模拟过程可用于减少高频率的空气啸叫。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Prediction and Improvement of Structure-Borne and Airborne Whines of an Electric Vehicle for Virtual Development
Many sources and paths cause interior cabin noise. Some noise from an electric vehicle is unique and different from a vehicle with an internal combustion engine. Especially, whine noise occurs due to the particular orders of the electromagnetic force of an electric motor and transmission gears, which is tonal and usually reaches high frequencies. This paper covers structure-borne (SB) and airborne (AB) aspects to estimate whine, and the difference between the two characteristics is distinguished. The focus lies mainly on the process of virtual vehicle development and application for performance improvement. First, to predict SB whine, an e-powertrain is modeled as a finite element model (FEM), and electromagnetic (EM) forces are calculated. A vehicle model is also modeled as an FEM, in which interior sound packages are carefully modeled as they play an important role in the medium-frequency region. The e-powertrain and vehicle models (being simulated separately) are combined to obtain cabin noise up to 1.5 kHz. Design studies show that the stiffness of mount insulators and the panel stiffness of the vehicle can be substantial design variables to reduce the SB whine. Second, the study highlights a simulation method to predict interior airborne whine up to 8 kHz by combining the FEMs of the e-powertrain and the vehicle’s exterior cavity with a statistical energy analysis (SEA) model of a vehicle. Path contribution can be identified by defining source strength and acoustic transfer function of airborne paths. Design modifications, including encapsulation of the e-powertrain, show this simulation process could be practically useful to reduce the airborne whine at high frequencies.
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